(Senior) ML Platform Engineer (m/f/d)

Gilchingonsitesenior

Posted 1w ago · via Recruitee

About this role

As a Senior Machine Learning Platform Engineer (m/f/d), you will design and build the platform that turns large-scale UxV and sensor data into validated, reproducible machine learning models. You will own and improve the end-to-end ML lifecycle—from data processing, selection, and annotation through distributed model training, experiment tracking and validation. Your work will enable ML engineers to develop autonomy and perception capabilities efficiently, reliably, and at scale. Beyond conventional platform engineering, you will also apply modern AI models to our internal data workflows. This may include semantic dataset search, automated metadata generation, data curation, and auto-labeling using foundation and multimodal models.…

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What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: python, docker, airflow, mlflow, kubeflow…

2

Level fit

This role is senior-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in Gilching. We weight your proximity and willingness to relocate.

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythondockerairflowmlflowkubeflowteams

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